Distributed representations of words (aka word embedding) have proven helpful in solving natural language processing (NLP) tasks. Training distributed representations of words with neural networks has lately been a major focus of researchers in the field. Recent work on word embedding, the Continuous Bag-of-Words (CBOW) model and the Continuous Skip-gram (Skip-gram) model, have produced particu...

Multi-word expressions (MWEs) have been recognized as important linguistic information and much research has been conducted especially on their extraction and interpretation. On the other hand, they have hardly been used in real application areas. While those who are learning English as a second language (ESL) use MWEs in their writings just like native speakers, MWEs haven’t been taken into co...

This corpus-based study aimed at exploring the most frequently-used academic words in linguistics and compare the wordlist with the distribution of high frequency words in Coxhead’s Academic Word List (AWL) and West’s General Service List (GSL) to examine their coverage within the linguistics corpus. To this end, a corpus of 700 linguistics research articles (LRAC), consisting of approximately ...

A. Caramazza, A. Costa, M. Miozzo, and Y. Bi (2001) reported a series of experiments showing that naming latencies for homophones are determined by specific-word frequency (e.g., frequency of nun) and not homophone frequency (frequency of nun + none). J. D. Jescheniak, A. S. Meyer, and W. J. M. Levelt (2003) have challenged these studies on a variety of grounds. Here we argue that these critici...

A. Caramazza, A. Costa, M. Miozzo, and Y. Bi (2001) reported a series of experiments showing that naming latencies for homophones are determined by specific-word frequency (e.g., frequency of nun) and not homophone frequency (frequency of nun none). J. D. Jescheniak, A. S. Meyer, and W. J. M. Levelt (2003) have challenged these studies on a variety of grounds. Here we argue that these criticism...

This paper describes the participation of the Loz team in the Multilingual Web Person Name Disambiguation task of IberEval 2017. The solutions consist of diferent variants of the traditional hierarchical agglomerative clustering algorithm. Tha analysis of results gives information about the relative effectiveness of considering different feature projections (word presence, term frequency and if...

One of the major challenges faced by researchers in linguistics and psycholinguistics India is lack corpora linguistic information such as word frequency, letter phonological phonetic data on sounds, morphological words, etc, Indian languages. When they do not get stimulus material readily available any corpus, resort to preparing a set that meets criteria for their specific study. This paper p...